#!/bin/bash

APP=gmall

if [ -n "$2" ] ;then
   do_date=$2
else 
   echo "请传入日期参数"
   exit
fi 

dim_user_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dim_user_info partition(dt='9999-99-99')
select
    id,
    login_name,
    nick_name,
    md5(name),
    md5(phone_num),
    md5(email),
    user_level,
    birthday,
    gender,
    create_time,
    operate_time,
    '$do_date',
    '9999-99-99'
from ${APP}.ods_user_info
where dt='$do_date';
"

dim_sku_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
with
sku as
(
    select
        id,
        price,
        sku_name,
        sku_desc,
        weight,
        is_sale,
        spu_id,
        category3_id,
        tm_id,
        create_time
    from ${APP}.ods_sku_info
    where dt='$do_date'
),
spu as
(
    select
        id,
        spu_name
    from ${APP}.ods_spu_info
    where dt='$do_date'
),
c3 as
(
    select
        id,
        name,
        category2_id
    from ${APP}.ods_base_category3
    where dt='$do_date'
),
c2 as
(
    select
        id,
        name,
        category1_id
    from ${APP}.ods_base_category2
    where dt='$do_date'
),
c1 as
(
    select
        id,
        name
    from ${APP}.ods_base_category1
    where dt='$do_date'
),
tm as
(
    select
        id,
        tm_name
    from ${APP}.ods_base_trademark
    where dt='$do_date'
),
attr as
(
    select
        sku_id,
        collect_set(named_struct('attr_id',attr_id,'value_id',value_id,'attr_name',attr_name,'value_name',value_name)) attrs
    from ${APP}.ods_sku_attr_value
    where dt='$do_date'
    group by sku_id
),
sale_attr as
(
    select
        sku_id,
        collect_set(named_struct('sale_attr_id',sale_attr_id,'sale_attr_value_id',sale_attr_value_id,'sale_attr_name',sale_attr_name,'sale_attr_value_name',sale_attr_value_name)) sale_attrs
    from ${APP}.ods_sku_sale_attr_value
    where dt='$do_date'
    group by sku_id
)

insert overwrite table ${APP}.dim_sku_info partition(dt='$do_date')
select
    sku.id,
    sku.price,
    sku.sku_name,
    sku.sku_desc,
    sku.weight,
    sku.is_sale,
    sku.spu_id,
    spu.spu_name,
    sku.category3_id,
    c3.name,
    c3.category2_id,
    c2.name,
    c2.category1_id,
    c1.name,
    sku.tm_id,
    tm.tm_name,
    attr.attrs,
    sale_attr.sale_attrs,
    sku.create_time
from sku
left join spu on sku.spu_id=spu.id
left join c3 on sku.category3_id=c3.id
left join c2 on c3.category2_id=c2.id
left join c1 on c2.category1_id=c1.id
left join tm on sku.tm_id=tm.id
left join attr on sku.id=attr.sku_id
left join sale_attr on sku.id=sale_attr.sku_id;
"

dim_base_province="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dim_base_province
select
    bp.id,
    bp.name,
    bp.area_code,
    bp.iso_code,
    bp.iso_3166_2,
    bp.region_id,
    br.region_name
from ${APP}.ods_base_province bp
join ${APP}.ods_base_region br on bp.region_id = br.id;
"

dim_coupon_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dim_coupon_info partition(dt='$do_date')
select
    id,
    coupon_name,
    coupon_type,
    condition_amount,
    condition_num,
    activity_id,
    benefit_amount,
    benefit_discount,
    create_time,
    range_type,
    limit_num,
    taken_count,
    start_time,
    end_time,
    operate_time,
    expire_time
from ${APP}.ods_coupon_info
where dt='$do_date';
"

dim_activity_rule_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dim_activity_rule_info partition(dt='$do_date')
select
    ar.id,
    ar.activity_id,
    ai.activity_name,
    ar.activity_type,
    ai.start_time,
    ai.end_time,
    ai.create_time,
    ar.condition_amount,
    ar.condition_num,
    ar.benefit_amount,
    ar.benefit_discount,
    ar.benefit_level
from
(
    select
        id,
        activity_id,
        activity_type,
        condition_amount,
        condition_num,
        benefit_amount,
        benefit_discount,
        benefit_level
    from ${APP}.ods_activity_rule
    where dt='$do_date'
)ar
left join
(
    select
        id,
        activity_name,
        start_time,
        end_time,
        create_time
    from ${APP}.ods_activity_info
    where dt='$do_date'
)ai
on ar.activity_id=ai.id;
"

case $1 in
"dim_user_info"){
    hive -e "$dim_user_info"
};;
"dim_sku_info"){
    hive -e "$dim_sku_info"
};;
"dim_base_province"){
    hive -e "$dim_base_province"
};;
"dim_coupon_info"){
    hive -e "$dim_coupon_info"
};;
"dim_activity_rule_info"){
    hive -e "$dim_activity_rule_info"
};;
"all"){
    hive -e "$dim_user_info$dim_sku_info$dim_coupon_info$dim_activity_rule_info$dim_base_province"
};;
esac